DocumentCode
1754122
Title
Separation of the Train Vibration Signal Based on Improved Fast ICA
Author
Xing-yuan, Zhang ; Ji-liang, Tu ; De-cun, Dong
Author_Institution
Coll. of Traffic & Transp. Eng., Tongji Univ., Shanghai, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
912
Lastpage
914
Abstract
A separation method of the vibration signal based on improved fast ICA was proposed. It adopted the steepest descent method to improve the convergence rate. Improved fast ICA method is applied to separation of vibration signal from the train´s running gear. Separation results proved that the method is feasible and effective. The method is contributive and instructional to train´s running gear vibration fault-diagnose.
Keywords
condition monitoring; fault diagnosis; gears; gradient methods; principal component analysis; railway rolling stock; vibrations; ICA; fault diagnosis; independent component analysis; steepest descent method; train running gear; vibration signal separation; Algorithm design and analysis; Blind source separation; Entropy; Gears; Independent component analysis; Signal processing algorithms; Vibrations; ICA; blind soure separation; vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.229
Filename
5750747
Link To Document